# Kakao Map Reviews Scraper (`knagymate/kakao-map-reviews-scraper`) Actor

Scrape Kakao Map (카카오맵) place reviews at scale — restaurants, cafés, hotels, and local businesses in South Korea. Extract star ratings, original Korean review text, photos, keyword tags, and reviewer info as clean JSON. Supports multiple URLs, sorting, and date filtering.

- **URL**: https://apify.com/knagymate/kakao-map-reviews-scraper.md
- **Developed by:** [knagymate](https://apify.com/knagymate) (community)
- **Categories:** Travel, Developer tools, Automation
- **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $2.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Kakao Map Reviews Scraper | Apify Actor

Scrape **Kakao Map (카카오맵) place reviews** — restaurants, cafés, hotels, attractions, and any local business — with a fast, reliable, and production-ready Apify Actor.

**Kakao Map (KakaoMap)** is one of the most popular map and local search platforms in **South Korea**, packed with authentic, high-quality user reviews, star ratings, photos, and keyword tags. This scraper turns those reviews into **clean, structured JSON** that is ready for analytics, sentiment analysis, NLP, and AI/LLM pipelines.

Built for **data analysts, market researchers, travel & hospitality teams, local SEO agencies, and developers** who need Korean place review data at scale — including **original review text, star ratings, review images, keyword tags, and reviewer metadata**.

Optimized for the **South Korean market** and Korean-language review data.

***

### ✨ Key Features

- ✅ Scrape **Kakao Map place reviews** (restaurants, cafés, bars, hotels, attractions, shops, clinics — any place)
- ✅ Extract **original Korean review text** and **star ratings** (1–5)
- ✅ Collect **review photos** (full-resolution image URLs)
- ✅ Capture **keyword tags** (e.g. `맛` / taste, `친절` / kindness, `분위기` / atmosphere)
- ✅ Include **reviewer metadata** (nickname, ID, total review count, average score)
- ✅ **Automatic pagination** through all available reviews
- ✅ Configurable **sorting**: `RECOMMENDED` or `LATEST`
- ✅ Optional **date cutoff** for incremental / delta scraping
- ✅ Scrape **multiple places** in a single run
- ✅ Clean, unified, analytics-ready dataset output
- ✅ Works with Apify **API, CLI, Scheduler, and Webhooks**

***

### 🗺️ Supported Kakao Map URLs

Provide one or more Kakao Map **place URLs**. The place ID is resolved automatically from the URL.

Example URL:

```
https://place.map.kakao.com/10735673
```

You can find a place URL by opening any place on [map.kakao.com](https://map.kakao.com) and copying the place / detail page link (the numeric ID at the end identifies the place).

#### Available sorting options

- **Recommended** (`RECOMMENDED`) — Kakao's default relevance ordering
- **Latest** (`LATEST`) — newest reviews first

> ℹ️ When a `cutoff_date` is provided, the Actor automatically switches to **Latest** ordering so it can stop as soon as it reaches older reviews.

***

### ⚙️ Input Configuration

| Field | Type | Required | Default | Description |
|---|---|:---:|:---:|---|
| `urls` | `array` | Yes | – | One or more Kakao Map place URLs |
| `max_review_per_page` | `integer` | No | `100` | Maximum number of reviews to scrape per place |
| `sort_by` | `string` | No | `RECOMMENDED` | Sorting method: `RECOMMENDED` or `LATEST` |
| `cutoff_date` | `string` (`YYYY-MM-DD`) | No | – | Only return reviews newer than this date |

#### Example Input

```json
{
  "urls": [
    { "url": "https://place.map.kakao.com/10735673" }
  ],
  "max_review_per_page": 100,
  "sort_by": "RECOMMENDED",
  "cutoff_date": "2025-01-01"
}
```

***

### 📦 Output Dataset

Results are stored in the default Apify dataset. Each item is a single review with the following fields:

| Field | Description |
|---|---|
| `page_url` | Source place URL |
| `page_id` | Kakao Map place ID |
| `place_name` | Name of the place |
| `review_id` | Unique review ID |
| `registered_time` | Date/time the reviewer registered on Kakao Map |
| `review_time` | Date/time the review was posted |
| `content` | Original review text |
| `score` | Star rating (1–5) |
| `images` | List of review image URLs |
| `like_count` | Number of likes on the review |
| `keywords` | Keyword tags selected by the reviewer |
| `reviewer_nickname` | Reviewer's display name |
| `reviewer_id` | Reviewer's Kakao Map user ID |
| `reviewer_review_count` | Reviewer's total number of reviews |
| `reviewer_average_score` | Reviewer's average score across their reviews |

#### Example Output Item

```json
{
  "page_id": "10735673",
  "page_url": "https://place.map.kakao.com/10735673",
  "place_name": "장안삼계탕",
  "review_id": "14910112",
  "registered_time": "2026-02-25 17:59:48",
  "review_time": "2026-02-25 18:00:27",
  "content": "음식맛으로만 치면 5점 드리고 싶습니다만. 서비스로 내어주는 닭모래집이 넘 맛났고 깍두기가 맛있어서 두번 리필~~",
  "score": 4.0,
  "images": [
    "http://t1.daumcdn.net/local/kakaomapPhoto/review/f2db3e4fdfdc7a59ac4f6cf26b2a58c654ab1b4f?original",
    "http://t1.daumcdn.net/local/kakaomapPhoto/review/b6fb9b2e2dad5f000e391c4caa66215fa9fe623a?original"
  ],
  "like_count": 0,
  "keywords": ["맛"],
  "reviewer_nickname": "김소방",
  "reviewer_id": "811221322",
  "reviewer_review_count": 852,
  "reviewer_average_score": 4.4
}
```

***

### 🌍 Use Cases

- **Korean market research** — understand real customer sentiment for restaurants, cafés, and local businesses in South Korea.
- **Sentiment analysis & NLP** — build Korean-language sentiment models from authentic, in-market review text.
- **AI / LLM training datasets** — collect high-quality Korean review corpora with ratings and keyword tags.
- **Local SEO & reputation monitoring** — track new reviews and ratings for your (or a competitor's) locations over time.
- **Hospitality & F\&B analytics** — benchmark restaurants, cafés, and hotels by rating, keywords, and review volume.
- **Review monitoring** — schedule periodic runs with `cutoff_date` to capture only new reviews incrementally.

Highly relevant for the **South Korean travel, food & beverage, retail, and local services markets**.

***

### ⚡ Why Use This Actor?

- ✅ Fully automated **pagination and sorting**
- ✅ Structured, **analysis-ready** output
- ✅ Extracts **images, keyword tags, and reviewer stats** — not just text
- ✅ **Incremental scraping** with `cutoff_date`
- ✅ Optimized for **Apify datasets & data pipelines**
- ✅ Production-ready and scalable

***

### 🚀 How to Use

1. Open the Actor on Apify.
2. Add one or more Kakao Map place URLs to `urls`.
3. Optionally set `max_review_per_page`, `sort_by`, and `cutoff_date`.
4. Run the Actor.
5. Export your results as **JSON, CSV, Excel, or HTML**, or connect to **BigQuery, Snowflake, S3**, and more via the Apify API.

You can run it manually, via the **Apify API**, on a **schedule**, or trigger it with **webhooks**.

***

### 👨‍💻 About the Author

Created by **[knagymate](https://apify.com/knagymate)**, author of multiple **top-performing Apify review scrapers** used by hundreds of users.

If you need:

- Custom features
- Higher limits
- Enterprise integrations

👉 Feel free to reach out via Apify.

***

### ⚠️ Disclaimer

This scraper extracts **publicly available data** from Kakao Map. You are responsible for ensuring compliance with **Kakao's terms of service** and applicable laws.

***

### ⭐ If this Actor helps you

Leave a **rating or review** on Apify — it helps a lot!

# Actor input Schema

## `urls` (type: `array`):

URLs of Kakao Map places to scrape reviews from.

## `max_review_per_page` (type: `integer`):

Maximum number of reviews to scrape per place URL.

## `sort_by` (type: `string`):

Criteria to sort reviews by.

## `cutoff_date` (type: `string`):

Scraper will return reviews newer than this date if it is provided.

## Actor input object example

```json
{
  "urls": [
    {
      "url": "https://place.map.kakao.com/10735673"
    }
  ],
  "max_review_per_page": 100,
  "sort_by": "RECOMMENDED"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        {
            "url": "https://place.map.kakao.com/10735673"
        }
    ],
    "max_review_per_page": 100,
    "sort_by": "RECOMMENDED",
    "cutoff_date": ""
};

// Run the Actor and wait for it to finish
const run = await client.actor("knagymate/kakao-map-reviews-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "urls": [{ "url": "https://place.map.kakao.com/10735673" }],
    "max_review_per_page": 100,
    "sort_by": "RECOMMENDED",
    "cutoff_date": "",
}

# Run the Actor and wait for it to finish
run = client.actor("knagymate/kakao-map-reviews-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    {
      "url": "https://place.map.kakao.com/10735673"
    }
  ],
  "max_review_per_page": 100,
  "sort_by": "RECOMMENDED",
  "cutoff_date": ""
}' |
apify call knagymate/kakao-map-reviews-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=knagymate/kakao-map-reviews-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/KC9hKLiqK167f1p6v/builds/ZCEndkdmgmHAKF8fn/openapi.json